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» Enriching the Output of a Parser Using Memory-based Learning
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ICML
1998
IEEE
16 years 6 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
CLIN
2001
15 years 7 months ago
Memory-Based Phoneme-to-Grapheme Conversion
In this paper, we describe a method to enhance the readability of out-of-vocabulary items (OOVs) in the textual output in a large vocabulary continuous speech recognition system. ...
Bart Decadt, Jacques Duchateau, Walter Daelemans, ...
ICML
2000
IEEE
15 years 10 months ago
Discriminative Reranking for Natural Language Parsing
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
Michael Collins
CLIN
2000
15 years 7 months ago
Transforming a Chunker to a Parser
Ever since the landmark paper Ramshaw and Marcus (1995), machine learning systems have been used successfully for identifying base phrases (chunks), the bottom constituents of a p...
Erik F. Tjong Kim Sang
ACL
1993
15 years 7 months ago
Automatic Acquisition of a Large Subcategorization Dictionary from Corpora
This paper presents a new method for producing a dictionary of subcategorization frames from unlabelled text corpora. It is shown that statistical filtering of the results of a ...
Christopher D. Manning